Number of the records: 1
Optimising the workflow for fish detection in DIDSON (Dual-frequency IDentification SONar) data with the use of optical flow and a genetic algorithm.
- 1.0553296 - BC 2022 RIV CH eng J - Journal Article
Perivolioti, T. M. - Tušer, Michal - Terzopoulos, D. - Sgardelis, S.P. - Antoniou, I.
Optimising the workflow for fish detection in DIDSON (Dual-frequency IDentification SONar) data with the use of optical flow and a genetic algorithm.
Water. Roč. 13, č. 9 (2021), č. článku 1304. E-ISSN 2073-4441
Institutional support: RVO:60077344
Keywords : acoustic imaging * computer vision * hydroacoustics * fisheries research * image segmentation * image classification * foreground extraction
OECD category: Oceanography
Impact factor: 3.530, year: 2021
Method of publishing: Open access
https://doi.org/10.3390/w13091304
Permanent Link: http://hdl.handle.net/11104/0328271
Number of the records: 1